
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))


# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "54"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder


# Use environment variables to figure out path to the csvs and auto_metrics
antenna = os.environ["ANTENNA"]
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "18"
csv_folder = "/home/obs/src/H5C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H5C_Notebooks/auto_metrics_inspect"


display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))


import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna


# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, '*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 80 csvs in /home/obs/src/H5C_Notebooks/_rtp_summary_
Found 76 auto_metrics notebooks in /home/obs/src/H5C_Notebooks/auto_metrics_inspect


# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H5C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'


this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        antnum = row['Ant']
        if antnum != int(antenna):
            continue
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break


# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])


display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))


html_to_display = ''
for am_html in auto_metric_htmls:
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line: 
            break


HTML(html_to_display)

JDs	A Priori Status	Auto Metrics Flags	Dead Fraction in Ant Metrics (Jee)	Dead Fraction in Ant Metrics (Jnn)	Crossed Fraction in Ant Metrics	Flag Fraction Before Redcal	Flagged By Redcal chi^2 Fraction	ee Shape Modified Z-Score	nn Shape Modified Z-Score	ee Power Modified Z-Score	nn Power Modified Z-Score	ee Temporal Variability Modified Z-Score	nn Temporal Variability Modified Z-Score	ee Temporal Discontinuties Modified Z-Score	nn Temporal Discontinuties Modified Z-Score	Average Dead Ant Metric (Jee)	Average Dead Ant Metric (Jnn)	Average Crossed Ant Metric	Median chi^2 Per Antenna (Jee)	Median chi^2 Per Antenna (Jnn)
2459594	RF_maintenance	100.00%	0.00%	2.70%	0.00%	100.00%	0.00%	0.294709	12.862060	-0.115646	2.551409	0.897903	13.145512	-0.336062	11.949268	0.7323	0.5863	0.3210	11.120384	5.118586
2459593	RF_maintenance	100.00%	0.00%	44.30%	0.00%	100.00%	0.00%	0.561780	11.270913	-0.245311	1.101266	-0.390176	12.070867	-0.659170	6.374205	0.6641	0.5106	0.2755	4.444602	2.734328
2459592	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	0.235044	0.876054	-0.181921	18.127173	-0.267233	11.046159	-1.875172	1.033050	0.0313	0.0294	0.0013	nan	nan
2459591	RF_maintenance	100.00%	0.00%	68.11%	0.00%	100.00%	0.00%	0.684521	13.308544	-0.030062	2.454672	0.488678	13.632306	-0.674547	18.512252	0.5465	0.4009	0.3299	5.283308	2.832858
2459590	RF_maintenance	100.00%	0.00%	65.95%	0.00%	100.00%	0.00%	0.728301	16.034335	-0.506199	1.412803	1.034155	8.582794	-0.433812	10.164066	0.5503	0.4034	0.3332	5.862965	3.147568
2459589	RF_maintenance	100.00%	0.00%	59.43%	0.00%	100.00%	0.00%	0.569175	13.316836	-0.964891	1.245321	-1.125746	5.385674	-0.222757	4.682908	0.6198	0.4643	0.2937	4.673362	2.568679
2459588	RF_maintenance	100.00%	0.00%	26.47%	0.00%	100.00%	0.00%	0.179052	16.447749	-0.210809	1.830400	0.475093	14.709994	0.215674	6.603719	0.7323	0.5713	0.2724	8.744040	3.819402
2459587	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	0.984962	10.511480	0.099508	2.811231	0.080893	0.568132	-0.921795	6.360712	nan	nan	nan	6.361326	3.671982
2459586	RF_maintenance	100.00%	0.00%	65.41%	0.00%	100.00%	0.00%	-0.406056	9.872458	0.571264	1.865261	-0.922141	1.567296	-1.074182	7.028883	0.5484	0.4131	0.3208	3.517830	2.167723
2459585	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1.397574	9.782845	0.641678	7.464006	1.573324	1.254417	-0.620158	5.136814	0.0328	0.0307	0.0016	0.000000	0.000000
2459584	RF_maintenance	100.00%	25.21%	74.79%	0.00%	100.00%	0.00%	0.447049	16.355503	1.085208	3.711169	-1.140767	4.550841	-0.523837	2.618221	0.4860	0.3602	0.3176	5.837269	3.146761
2459583	RF_maintenance	100.00%	0.00%	69.69%	0.00%	100.00%	0.00%	-0.226714	12.362616	-0.255271	0.288512	0.742952	4.330134	-0.348655	4.325408	0.5361	0.3889	0.3473	3.290370	2.176250
2459582	RF_maintenance	100.00%	0.00%	71.89%	0.00%	100.00%	0.00%	-0.360287	9.042163	0.197830	0.411736	0.605876	3.054546	-0.748924	2.961339	0.5332	0.3854	0.3493	3.110262	1.982214
2459581	RF_maintenance	100.00%	0.00%	69.19%	0.00%	100.00%	0.00%	-0.054855	14.752551	-0.334696	0.013694	0.067436	3.314940	-0.587382	4.970939	0.5369	0.3887	0.3534	3.085198	1.978103
2459580	RF_maintenance	100.00%	0.00%	64.83%	0.00%	100.00%	0.00%	-0.101639	14.456950	0.433883	0.293793	-0.586040	7.092596	-0.825928	5.108989	0.5533	0.4073	0.3440	4.240141	2.466759
2459579	RF_maintenance	100.00%	0.00%	64.83%	0.00%	100.00%	0.00%	-0.219357	10.286272	0.574076	0.713551	-0.058667	4.376597	-0.577206	9.353906	0.5514	0.4065	0.3435	4.516656	2.652109
2459578	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	-0.076782	1.846938	-0.545098	10.078612	-0.328071	18.201627	-0.198366	7.556721	0.0376	0.0295	0.0013	nan	nan
2459577	RF_maintenance	100.00%	0.00%	66.02%	0.00%	100.00%	0.00%	1.799279	12.273752	-0.084182	0.126599	-0.388634	3.483583	-0.569881	4.700481	0.5503	0.4099	0.3378	3.385085	2.130906
2459576	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	2.656919	12.677419	-0.125136	0.572974	-0.417955	3.918591	-0.294073	10.010323	0.0655	0.0853	0.0157	1.150236	1.145308
2459575	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.735900	11.272498	-0.356786	0.134802	-0.138296	2.734919	-0.480778	0.886083	0.0561	0.0669	0.0096	0.806606	0.799405
2459574	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.323687	9.967206	-0.403724	0.234827	-1.211505	5.356533	-0.836403	5.206861	0.1019	0.1092	0.0379	1.115034	1.116643
2459573	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	0.197302	12.028249	0.228530	0.535553	-0.124654	5.395097	-0.656978	7.076769	0.0830	0.0840	0.0317	0.000000	0.000000
2459572	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.360462	10.603760	-0.095450	0.131228	-0.700552	2.443869	-0.429719	13.630915	0.0623	0.0813	0.0152	0.874181	0.839697
2459571	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	0.173380	1.748191	-0.385798	10.418208	1.264979	13.292045	-0.384838	11.587507	0.0402	0.0309	0.0026	nan	nan
2459570	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459569	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	1288.001113	597.519179	inf	inf	33680.444362	-13723.916795	3824.953869	-1310.601167	nan	nan	nan	0.000000	0.000000
2459566	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.149970	9.296241	-0.147818	0.113235	-0.639209	3.902852	-0.054128	11.626343	0.0930	0.1035	0.0374	26.248552	2.573645
2459565	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	0.532291	0.532291	0.525437	0.525437	-0.677115	-0.677115	-0.811160	-0.811160	nan	nan	nan	0.000000	0.000000
2459564	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.156369	6.818881	-0.290033	0.436775	1.198602	-0.816480	0.048948	7.931886	0.7051	0.5469	0.4401	3.104022	1.950184
2459563	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459562	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459561	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459560	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	nan	nan	inf	inf	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459559	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.447748	14.630764	-0.921929	0.062434	0.967320	1.537343	-0.137894	9.049942	0.6988	0.5365	0.4378	2.906293	1.893528
2459558	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.100277	11.617724	0.291581	0.490506	0.001583	2.989984	-0.389908	15.902329	0.7005	0.5321	0.4440	3.186964	2.080889
2459557	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0415	0.0322	0.0019	nan	nan
2459556	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.255325	16.685783	0.394944	0.936558	0.076048	5.782862	-0.238329	34.043024	0.7036	0.5375	0.4419	3.309160	2.121849
2459554	RF_maintenance	-	0.00%	7.56%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6902	0.5107	0.4572	nan	nan
2459553	RF_maintenance	-	0.00%	6.50%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.6930	0.5065	0.4458	nan	nan
2459552	RF_maintenance	100.00%	0.00%	1.08%	0.00%	100.00%	0.00%	0.927448	12.514097	0.910921	0.378278	0.354034	6.353661	-0.479090	8.747576	0.7068	0.5344	0.4475	0.000000	0.000000
2459551	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.326837	5.815513	-1.020734	0.269209	0.823871	0.013238	-0.088887	13.089630	0.6971	0.5335	0.4392	3.175958	1.985460
2459550	RF_maintenance	-	100.00%	100.00%	0.00%	-	-	nan	nan	nan	nan	nan	nan	nan	nan	0.0491	0.0488	0.0034	nan	nan
2459549	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.180558	8.206759	0.014392	0.221343	-0.385530	2.047044	-0.380148	11.665839	0.6977	0.5336	0.4550	3.348298	2.057951
2459542	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.291369	10.139862	0.551692	0.790094	-0.628275	0.072176	-0.236168	11.278440	0.7582	0.6057	0.4241	3.324995	1.966685
2459541	RF_maintenance	100.00%	0.45%	0.45%	0.00%	100.00%	0.00%	-0.060603	10.422784	1.080328	0.002399	-0.228718	1.267372	-0.228468	6.606700	0.7613	0.6101	0.3932	5.049052	2.642831
2459540	RF_maintenance	100.00%	0.00%	0.45%	0.00%	100.00%	0.00%	0.333840	6.234762	-0.829854	0.067559	0.392825	-0.132796	-0.229774	5.584587	0.7534	0.5922	0.4349	3.138350	1.949452
2459536	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	-0.007882	12.673818	1.674710	0.323699	-0.159593	5.530856	-0.705703	14.669658	0.7337	0.5815	0.4650	4.062503	2.327853
2459535	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.250538	6.713341	-0.554237	-0.028209	0.192951	3.158284	-0.366810	6.072723	0.7852	0.6176	0.4402	3.059806	1.936114
2459534	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.449929	4.709032	-0.359638	-0.117110	0.493604	0.629411	-0.053553	3.807569	0.7777	0.6231	0.4189	5.892559	3.135236
2459533	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.460980	8.128785	-0.049959	-0.211713	1.037117	1.892984	-0.393452	7.780813	0.7244	0.5633	0.4504	3.557571	2.118859
2459532	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.191032	9.539940	0.408937	0.144380	0.209724	3.479808	-0.646262	8.918407	0.7227	0.5601	0.4473	3.929636	2.273281
2459530	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.051520	5.336698	-0.662791	0.013515	0.537405	-0.258013	-0.244246	7.085447	0.7431	0.5818	0.4461	3.144102	2.010438
2459527	RF_maintenance	0.00%	-	-	-	100.00%	0.00%	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.000000	0.000000
2459524	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.481457	5.089516	-0.510640	-0.079930	0.662712	3.766966	-0.774065	5.330818	0.8946	0.8614	0.4579	0.000000	0.000000
2459523	RF_maintenance	100.00%	-	-	-	100.00%	0.00%	0.606895	15.436514	-0.133190	0.059280	1.231731	3.806926	-0.564354	12.861137	nan	nan	nan	5.250270	2.833084
2459522	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	1.025496	9.804365	0.691304	0.148360	0.468854	6.063840	-0.564447	11.363047	0.6650	0.4452	0.4565	3.940516	3.294154
2459513	RF_maintenance	100.00%	100.00%	100.00%	0.00%	-	-	0.242935	2.413890	-0.658430	9.035685	0.331892	10.223935	-0.368366	27.396460	0.0443	0.0315	0.0032	nan	nan
2459508	RF_maintenance	0.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.016779	2.991584	-0.919553	0.000579	-0.247894	2.321064	-0.797776	1.546910	0.8993	0.8680	0.2877	0.000000	0.000000
2459505	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.189891	8.103646	1.200518	0.386439	0.392205	2.059953	0.003350	19.754032	0.8917	0.7378	0.3367	13.299364	7.916496
2459503	RF_maintenance	100.00%	0.00%	11.29%	0.00%	100.00%	0.00%	0.075559	2.452144	0.531971	-0.054348	1.291219	2.001106	-0.559286	8.464761	0.8454	0.7418	0.5698	0.000000	0.000000
2459501	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.027542	4.079531	0.163533	-0.505083	3.236549	1.001151	-0.389782	9.567844	0.1127	0.1557	0.0378	0.000000	0.000000
2459500	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.284185	2.197690	-1.110462	-1.019387	-0.336424	0.000189	-0.359920	5.363859	0.1139	0.1483	0.0345	0.000000	0.000000
2459499	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.384457	2.059493	-1.066599	-0.711396	-0.512263	0.327404	-0.097650	13.511849	0.0840	0.1638	0.0121	0.000000	0.000000
2459498	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.296985	2.183617	-0.127560	-0.520072	-0.106170	0.559926	-0.001661	19.021483	0.1109	0.1484	0.0349	0.000000	0.000000
2459497	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.305734	1.812082	0.428941	-0.804980	0.358996	0.178653	-0.467861	7.035780	0.1389	0.1336	0.0306	0.000000	0.000000
2459496	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.609501	1.566764	-0.290056	-0.427365	0.257047	-0.184791	-0.266339	7.259057	0.1349	0.1809	0.0460	0.000000	0.000000
2459495	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.517029	1.231104	-0.413996	-0.617743	0.022690	-0.137169	-0.463827	7.982261	0.1413	0.1860	0.0551	0.000000	0.000000
2459494	RF_maintenance	100.00%	100.00%	100.00%	0.00%	100.00%	0.00%	-0.547091	2.156610	-0.815378	-0.760464	-0.455162	0.003422	0.211165	20.618869	0.1407	0.1793	0.0488	0.000000	0.000000
2459492	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.289456	14.623450	1.864004	-0.107019	2.480866	14.391668	-0.314195	90.298669	0.7497	0.6793	0.4327	4.261681	2.319163
2459491	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.121383	16.025314	2.200780	-0.243651	1.505696	15.326844	0.014889	36.322597	0.7947	0.7093	0.3188	3.228650	1.622306
2459490	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.606913	17.912539	2.274791	-0.243986	1.389484	12.513107	-0.117249	69.301838	0.7371	0.6693	0.4591	5.766840	3.001122
2459489	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.457350	13.089555	1.958233	-0.254376	1.200658	12.088382	-0.686330	27.367833	0.7619	0.6955	0.3812	5.789570	3.005308
2459488	RF_maintenance	100.00%	0.00%	0.00%	0.00%	100.00%	0.00%	0.577432	14.591709	1.527478	0.382297	1.743588	19.218604	1.207922	121.295202	0.7612	0.6919	0.4488	0.000000	0.000000

Antenna Season Report Notebook¶

Antenna 18 Report

Load relevant info from summary CSVs¶

Table 1: Per-Night RTP Summary Info For This Atenna¶

Antenna 18, Node 1:

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

Antenna 18: 2459603

Antenna 18: 2459602

Antenna 18: 2459598

Antenna 18: 2459597

Antenna 18: 2459596

Antenna 18: 2459595

Antenna 18: 2459594

Antenna 18: 2459593

Antenna 18: 2459592

Antenna 18: 2459591

Antenna 18: 2459590

Antenna 18: 2459589

Antenna 18: 2459588

Antenna 18: 2459587

Antenna 18: 2459586

Antenna 18: 2459585

Antenna 18: 2459584

Antenna 18: 2459583

Antenna 18: 2459582

Antenna 18: 2459581

Antenna 18: 2459580

Antenna 18: 2459579

Antenna 18: 2459578

Antenna 18: 2459577

Antenna 18: 2459576

Antenna 18: 2459575

Antenna 18: 2459574

Antenna 18: 2459573

Antenna 18: 2459572

Antenna 18: 2459571

Antenna 18: 2459570

Antenna 18: 2459569

Antenna 18: 2459566

Antenna 18: 2459565

Antenna 18: 2459564

Antenna 18: 2459563

Antenna 18: 2459562

Antenna 18: 2459561

Antenna 18: 2459560

Antenna 18: 2459559

Antenna 18: 2459558

Antenna 18: 2459556

Antenna 18: 2459552

Antenna 18: 2459551

Antenna 18: 2459549

Antenna 18: 2459542

Antenna 18: 2459541

Antenna 18: 2459540

Antenna 18: 2459536

Antenna 18: 2459535

Antenna 18: 2459534

Antenna 18: 2459533

Antenna 18: 2459532

Antenna 18: 2459530

Antenna 18: 2459527

Antenna 18: 2459524

Antenna 18: 2459523

Antenna 18: 2459522

Antenna 18: 2459513

Antenna 18: 2459508

Antenna 18: 2459506

Antenna 18: 2459505

Antenna 18: 2459503

Antenna 18: 2459501

Antenna 18: 2459500

Antenna 18: 2459499

Antenna 18: 2459498

Antenna 18: 2459497

Antenna 18: 2459496

Antenna 18: 2459495

Antenna 18: 2459494

Antenna 18: 2459492

Antenna 18: 2459491

Load antenna metric spectra and waterfalls from `auto_metrics` notebooks.¶